Performance Analysis of Optimization Algorithms for Energy Efficient Routing Mechanism in WSN

Recently, WSNs (Wireless Sensor Networks) have become an effective and efficient communication technology with the quick expansion of their extensive range of applications. These type of sensor nodes contain limited energy resource. The energy of the sensor nodes continues to deplete over time, leading to node failure, and ultimately system failure. So, exorbitant energy utilization of WSNs is considered a primary concern. Effective energy utilization in WSNs is one of the most primary research topics in which several approaches have been proposed to improve the lifetime of networks. In this paper, the routing mechanism based on various metaheuristic algorithms to reduce over-energy consumption as well as to enhance the lifespan of the WSNs is implemented. The routing performance of Metaheuristic algorithms such as, ACO (Ant Colony Optimization), M-ACO (Modified-Ant Colony Optimization), and PSO (Particle Swarm Optimization) is compared with each other to examine the energy utilization and the performance of packet delivery. The comparison analysis is done by three different WSN scenarios in terms of throughput, loss rate, energy consumption, delay and packet delivery ratio. The comparative analysis illustrates that PSO algorithm gives better results than ACO and M-ACO algorithms. Moreover, M-ACO algorithm shows average performance and the ACO algorithm shows poor performance.